//
// Project: Disagreement in science: Missing women



clear all
version 15.1  



//
// set locals

// method of identifying female variable
local female "female_manual"

// gender of author is known
local known_gender "female_manual!=."




//
// AER

// call data
use "${data}/output/aer_data_gender.dta", clear
drop if month=="May" & year!=2019  // exclude AEA papers and proceedings
drop if year==2020  
keep if (comment | research_article)

// analysis
local i=1
local coefficients`i' "2"
regress `female' i.comment i.year if `known_gender', vce(robust)
matrix m`i' = r(table)
scalar n`i' = e(N)
scalar rsq`i' = e(r2)
* p-vales
foreach k of numlist `coefficients`i'' {
	local p`i'_`k' = m`i'[4,`k']
}
margins comment
matrix a`i' = r(b)



//
// significance stars for regressions above
forvalues j=1/1 {
	foreach k of numlist `coefficients`j'' {
		if `p`j'_`k''<0.1 & `p`j'_`k''>=0.05 {
			scalar st`j'_`k'="*"
		}
		else if `p`j'_`k''<0.05 & `p`j'_`k''>=0.01 {
			scalar st`j'_`k'="**"
		}
		else if `p`j'_`k''<0.01 & `p`j'_`k''>=0.001 {
			scalar st`j'_`k'="***"
		}
		else if `p`j'_`k''<0.001 {
			scalar st`j'_`k'="****"
		}
		else {
			scalar st`j'_`k'=""
		}
	}
}
	




